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Network Slicing Cybersecurity Patents: Who Leads, Where Gaps Are 2026

Network Slicing Cybersecurity Patents: Who Leads, Where Gaps Are 2026
https://www.patsnap.com/resources/blog/rd-blog/network-slicing-cybersecurity-patent-landscape/ · Patsnap · data cut-off 2026-07-31 · downloaded from the live page
Patent Landscape · Telecom & Wireless
Network Slicing Cybersecurity Patents: Filing Trends and Open Claim Space
  • Filings peaked in 2017 at 43 records and have declined since, with the 2022 midpoint at 19 — a maturing rather than accelerating field.
  • No tracked assignee filed in the latest year including Huawei, Qualcomm, Nokia, Verizon and NEC, all showing zero recent-year momentum in this dataset.
  • H04W and H04L dominate the IPC mix at 144 and 101 records respectively, while AI-based slice security (G06N) appears in only 2 records.
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178
Published Records
51%
Top-5 Share of All Records
-65%
Filing Growth 2021→2024
US
Leading Jurisdiction

Filing growth compares 2021 (31 records) with 2024 (11) — a three-year span. 2024 is the most recent year we treat as complete: publication lags filing by roughly 18 months, so 2025 onwards are still filling in and any growth rate that ends there would understate the field. Top-5 share is the combined record count of the five largest assignees divided by all 178 records in scope (CR5), not by the ranked leaders only.

Published byPatsnap Research··7 min readSourced from Patsnap Eureka
Overview

What the patent record shows about network slicing security

Network slicing cybersecurity sits at the intersection of two IPC clusters: H04W wireless network architecture and H04L digital transmission security. Of 178 patent families captured under this search, 144 touch wireless network slicing structures directly and 101 overlap with transmission-layer security mechanisms — a strong signal that most claims are being written as extensions of existing slicing architecture patents rather than as a distinct security discipline. Filing activity peaked in 2017 and has not returned to that level since, with the 2022 midpoint sitting at 19 records, well below half the peak.

Publication normally lags filing by around 18 months, so the most recent one or two years in any trend undercount true filing activity. Even allowing for that lag, the recent-year momentum data — zero new filings in the latest year across every assignee tracked, including the largest telecom equipment vendors — points to a field where the core architectural claims were staked out early and filing has since slowed rather than accelerated.

Filing activity, 2017–2026
  1. 1HUAWEI TECH CO LTD47
  2. 2QUALCOMM INC13
  3. 3NOKIA TECHNOLOGIES OY11
  4. 4T MOBILE INNOVATIONS LLC10
  5. 5VERIZON PATENT & LICENSING INC10
  6. 6NEC CORP10
  7. 7LENOVO (SINGAPORE) PTE LTD9
  8. 8NOKIA SOLUTIONS & NETWORKS OY8
  9. 9ZTE CORP7
  10. 10ORANGE SA7
Source: Patsnap Eureka. Assignee ranking and totals. Derived from a Patsnap search on Network Slicing Cybersecurity covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP

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Data

Filing trend and technology composition

The two views below cover the same 178 families from different angles: one tracks filing volume by year, the other breaks the corpus down by IPC subclass to show where slicing-security claims are actually being written.

Peak filing year: 2017, then decline

Filings ran at 43 in 2017, the peak of the series, dropped toward a 2022 midpoint of 19, and the most recent tracked year shows 0 — read that final point as partial and lagging, not as the field going silent.

Peak filing year: 2017, then decline0132538504320172018201920202021202220232024202502026Most recent year is partial — publication lag means later filings are not yet visible.

H04W and H04L carry the corpus

H04W (wireless communication networks) appears in 144 records and H04L (digital information transmission) in 101, meaning most families are tagged to both — a slicing architecture claim layered with a transmission-security claim. G06F appears in 15 records, and AI-based approaches (G06N) and video-pictorial applications (H04N) each appear only twice, with G06Q and G16B at a single record apiece.

H04W and H04L carry the corpusH04W · Wireless communication networks14480.9%H04L · Digital information transmissi…10156.7%G06F · Electric digital data processi…158.4%G06N · Computing based on AI models21.1%H04N · Pictorial communication (video…21.1%G06Q · Business, commerce & admin dat…10.6%G16B · Bioinformatics10.6%

Shares are the percentage of the 178 records in scope. A patent can carry several IPC classes, so the shares add up to more than 100%.

Source: Patsnap Eureka. Filing trend and technology composition. Derived from a Patsnap search on Network Slicing Cybersecurity covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.

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Key patents

The most-cited records and a representative claim

Representative record
US20190141081A12019-05-09

US20190141081A1 — Method of enabling slice security separation

NEC CORPORATION

A mobile network system comprises a security device and a network device. The security device stores slice security requirements which differ for each slice ID. The network device transmits a Slice Security Request including the slice ID and receives, in response, the security requirements tied to that slice — then selects a security algorithm for the network slice based on those requirements.Filed by NEC Corporation, published 2019-05-09.

US20190141081A1 — patent drawing 1US20190141081A1 — patent drawing 2
View full record
Most-cited records in this corpus
#Publication no.Patent titleCitations
1US20180041425A1Service-based traffic forwarding in virtual networks220
2US20190124561A1Mechanism to enable interworking between network slicing and evolved packet core connectivity180
3US20180077023A1Method and apparatus for network slicing112
4US20180077024A1Method and apparatus for network slicing98
5US20220141192A1System and Methods for Path-Aware and Path-Assured Secure Virtual Private Lines and Secure Network Slices usi…43
6US20190141081A1Method of enabling slice security separation35
7US11528147B2Verifying integrity and secure operations of cloud-based software services33
8WO2018075930A1Determining and communicating security posture attributes33
9US20180041994A1End point to edge node interaction in wireless communication networks29
10WO2019078964A1A mechanism to enable interworking between network slicing and evolved packet core connectivity26

Citation counts inside a searched corpus favour older filings simply because they have had longer to accumulate citations — treat this table as a map of influence on later filings, not a ranking of current relevance.

Each row carries its publication number; clicking a row searches Eureka by that number.

Source: Patsnap Eureka. Citation counts and representative records. Derived from a Patsnap search on Network Slicing Cybersecurity covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
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Insights

Reading the numbers

Three patterns stand out once the filing trend and IPC composition are set side by side: an early filing peak that never returned, a technology mix still anchored in conventional network architecture, and a citation record dominated by older foundational slicing patents rather than security-specific ones.

Filing trend
43 → 0
peak year to latest year

The peak has passed, not arrived

2017's 43 filings remain the high point of this dataset. The 2022 midpoint of 19 confirms a downward trend rather than a temporary dip, even after allowing for publication lag on the last one or two years.

Filing trend, 2017-2026
Technology mix
144 vs 2
H04W records vs G06N records

Security is still architecture-led, not AI-led

Wireless network architecture (H04W) and transmission security (H04L) carry the overwhelming majority of records. AI-based approaches to slice threat detection sit at just 2 records, suggesting claim space there is largely open.

IPC composition
Citation concentration
220 citations
top-cited record

Foundational slicing patents outrank security-specific ones

The most-cited record in this corpus, US20180041425A1, covers service-based traffic forwarding rather than security controls directly — later slice-security filings build on general slicing architecture rather than displacing it.

Most-cited records table
Assignee activity
0
latest-year filings across tracked leaders

No leader is currently active in the tracked window

Huawei, Qualcomm, Nokia, Verizon and NEC all show zero filings in the latest tracked year. Combined with the overall filing decline, this points to a period of claim consolidation rather than expansion.

Recent-year momentum by assignee
Eureka AI Agent
Looking for what nobody has claimed yet?

Eureka can read the same corpus for gaps instead of for coverage: under-claimed branches adjacent to network slicing cybersecurity, with the prior art for and against each one.

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Source: Patsnap Eureka. Co-assignee relationships and derived observations. Derived from a Patsnap search on Network Slicing Cybersecurity covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
Players

Who holds the claims

Assignee activity in this corpus is concentrated among a small group of telecom equipment and infrastructure vendors, with Nokia appearing under three related entity names that co-file together — a sign of internal group filing rather than external collaboration.

Equipment vendors
3 co-assignee pairs
all involving Nokia entities

Nokia's filing is split across entities

The strongest co-assignee pairs in this dataset all link Nokia Technologies, Nokia Solutions and Networks, and Nokia Shanghai Communications, each pairing appearing 6 times — internal group co-filing rather than cross-company collaboration.

Co-assignee pairs
Momentum
0 in latest year
across all six leading assignees tracked

Every tracked leader has gone quiet recently

Huawei, Qualcomm, Nokia, Verizon, NEC and independent filer Zhang Hang all show zero filings in the latest tracked year, consistent with the broader decline visible in the filing trend since 2017.

Recent-year momentum
Geography
70 US filings
leading receiving office

Filing is US- and EPO-centred, with China and India as secondary markets

The United States receives the largest share of filings at 70, followed by the European Patent Office at 43 and WIPO/PCT at 23. India (13), China (9) and Germany (8) form a secondary tier.

Receiving offices
🔍
Under-claimed branches worth checking before filing
These sub-areas show thin coverage relative to the core architecture claims — worth a freedom-to-operate check before committing claim language here.
AI-driven slice anomaly detectioncross-slice isolation breach containmentdynamic slice security policy negotiationmulti-tenant slice threat attributionslice-aware zero-trust authentication
Rank all filers by momentum →
Recent-year filing momentum by assignee
AssigneeRecent yearYoY
Huawei Technologies Co., Ltd.0
Qualcomm Incorporated0
Nokia Technologies Oy0
Verizon Patent and Licensing Inc.0
NEC Corporation0
ZHANG HANG0
T MOBILE INNOVATIONS LLC0
Lenovo (Singapore) Pte. Ltd.0
Source: Patsnap Eureka. Assignee-level momentum. Derived from a Patsnap search on Network Slicing Cybersecurity covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
What's next

Where to take this

The filing trend and IPC composition point to a field where the architectural groundwork is largely claimed and security-specific extensions — particularly AI-based ones — remain comparatively open.

Check freedom-to-operate on foundational slicing claims

The most-cited records in this corpus cover general slicing architecture, not security mechanisms specifically. Any new security claim built on top of slice identification or traffic forwarding should be checked against those foundational filings first.

Run a freedom-to-operate check in Eureka →

Explore the AI-based slice security gap

With only 2 records tagged to G06N, AI-driven approaches to slice threat detection and anomaly response are thin relative to the rest of the corpus. This is the most identifiable under-claimed branch in the dataset.

Explore this white space in Eureka →
Source: Patsnap Eureka. Forward-looking reading of the same dataset. Derived from a Patsnap search on Network Slicing Cybersecurity covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
FAQ

Common questions about network slicing cybersecurity patents

Answers are grounded in the same dataset. Derived from a Patsnap search on Network Slicing Cybersecurity covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP

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Disclaimer. This page is generated from Patsnap Eureka data drawn from a limited snapshot of global patent and scientific-literature records, and is provided for general information and reference only.

Patent data carries inherent limitations: recent filings (typically the most recent 18–24 months) are under-counted due to standard publication lag; counts may be reported at either a patent-family or a patent-record basis and are not always directly comparable; classification, applicant-name, and citation data may contain errors, duplicates, or omissions; and the underlying search query defines and constrains the scope shown. As a result, the analysis may be incomplete or inaccurate and may not reflect the full technology landscape.

Nothing on this page constitutes an exhaustive prior-art, novelty, freedom-to-operate, or validity search, nor does it constitute legal, financial, investment, or professional advice, and it should not be relied upon as such. Any patent, commercial, or strategic decision should be verified independently and reviewed with qualified patent, legal, and domain professionals. Patsnap makes no warranties, express or implied, as to the accuracy, completeness, or fitness for any particular purpose of the information presented.

Machine translation. Assignee and organisation names originally recorded in Chinese, Japanese or Korean have been rendered into English by an AI translation step so that the tables stay readable. These renderings are best-effort and may not match a company’s registered English name; the original name is what the underlying patent record carries, and it is what any Eureka query launched from this page uses.

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